深度学习tensorflow学习的相关内容

阿里云文档 2024-09-10

部署NGC容器环境（基于TensorFlow）构建深度学习开发环境

NGC（NVIDIA GPU CLOUD）是NVIDIA开发的一套深度学习生态系统，方便您免费访问深度学习软件堆栈，建立适合深度学习的开发环境。本文以搭建TensorFlow深度学习框架为例，为您介绍如何在GPU实例上部署NGC环境以实现深度学习开发环境的预安装。

文章 2023-06-09 来自：开发者社区

深度学习入门笔记6 tensorflow学习

TensorflowTensorflow简介TensorFlow™ 是一个开放源代码软件库，用于进行高性能数值计算。借助其灵活的架构，用户可以轻松地将计算工作部署到多种平台（CPU、GPU、TPU）和设备（桌面设备、服务器集群、移动设备、边缘设备等）。TensorFlow™ 最初是由 Google Brain 团队（隶属于 Google 的 AI 部门）中的研究人员和工程师开发的，可为机器学习和....

文章 2022-11-12 来自：开发者社区

【深度学习】Tensorflow学习（1）张量与常用函数 2

常用函数强制tensor转换为该数据类型tf.cast(张量名称,dtype=数据类型)计算张量维度上元素的最小值tf.reduce_min(张量名)计算张量维度上元素的最大值tf.reduce_max(张量名)import tensorflow as tf x1=tf.constant([1.,2.,3.],dtype=tf.float64) print(x1) x2=tf.cast(x1,t....

文章 2022-11-12 来自：开发者社区

【深度学习】Tensorflow学习（1）张量与常用函数 1

关于张量张量可以表示0阶到N阶的数组在TensorFlow中，张量（Tensor）表示某种相同数据类型的多维数据因此张量有两个重要特征：数据类型数组形状（各个维度的大小）张量的数据类型tf.int，tf.floattf.int32，tf.float32，tf.float64tf.booltf.constant([True,False])tf.stringtf.constant("Hello Wr....

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